Almanac
model

GPT-5.3-Codex

modelactiveprovisionalgpt-5-3-codex-82905fe7·5 events·first seen 28d ago

Aliases: GPT-5.3-Codex, GPT-5.2-Codex, GPT-5-Codex

Co-occurring entities

More like this (12)

Recent events (5)

8Openai Blog·28d ago·source ↗

Introducing GPT-5.3-Codex

OpenAI has announced GPT-5.3-Codex, described as a Codex-native agent combining frontier coding performance with general reasoning capabilities. The model is designed to support long-horizon, real-world technical work. The announcement positions it as an agentic coding system rather than a standalone language model.

8Openai Blog·28d ago·source ↗

GPT-5.3-Codex System Card

OpenAI has released the system card for GPT-5.3-Codex, described as the most capable agentic coding model to date. It combines the frontier coding performance of GPT-5.2-Codex with the reasoning and professional knowledge capabilities of GPT-5.2. The release represents a continuation of OpenAI's Codex line of specialized coding models within the GPT-5 family.

8Openai Blog·28d ago·source ↗

Addendum to GPT-5.2 System Card: GPT-5.2-Codex

OpenAI published a system card addendum for GPT-5.2-Codex, a specialized variant of GPT-5.2 focused on coding capabilities. The document provides safety evaluations, capability assessments, and deployment considerations specific to this coding-oriented model. As a Tier 1 source system card, it represents official documentation of a frontier coding model's properties and risk profile.

8Openai Blog·28d ago·source ↗

Introducing GPT-5.2-Codex

OpenAI has released GPT-5.2-Codex, described as their most advanced coding model. The model features long-horizon reasoning, large-scale code transformation capabilities, and enhanced cybersecurity features. This represents a specialized coding-focused model in the GPT-5 family.

7Openai Blog·28d ago·source ↗

OpenAI releases GPT-5-Codex: GPT-5 variant optimized for agentic coding

OpenAI has published an addendum to the GPT-5 system card introducing GPT-5-Codex, a version of GPT-5 specifically optimized for agentic coding within the Codex environment. The model features dynamic thinking-effort adjustment, scaling compute based on task complexity—responding quickly to simple queries while sustaining longer independent work on complex coding tasks. This represents a specialized derivative of GPT-5 targeting software engineering agents rather than general-purpose use.